Supply chain information visibility and its impact on decision-making : an integrated model in the pharmaceutical industry : a dissertation presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Management at Massey University, Albany, Auckland, New Zealand

Supply chain information visibility (SCIV) has been largely recognized as a key issue in pharmaceutical supply chain management. In recent years, there has been growing concern regarding the exponential growth and ubiquity of supply chain information as the result of the application of advanced technologies. Thus, the topic of visibility of information flow across a supply chain has attracted interest in both practice and academia. Despite the existence of considerable literature on SCIV, the concept is still under-theorized. The lack of a clear understanding of the characteristics of SCIV has made it difficult to evaluate the effectiveness of SCIV and, consequently, hinders the improvement of SCIV (McIntire, 2014). Second, recent research identifies the potential of SCIV for operational performance through supporting managerial decision-making but also points out challenges and risks. In addition, there is a dearth of behavioral empirical research on supply chain management topics with which to achieve an increase in theory-building research in the field. This research addresses these gaps in the literature and investigates how SCIV across the pharmaceutical supply chain is perceived by pharmaceutical supply chain practitioners who are involved in supply chain decision-making, and how the decision-makers make use of SCIV in their supply chain decision-making process. This study adopted an exploratory, and qualitative approach to address two research questions: “How do supply chain professionals perceive SCIV in the pharmaceutical supply chain?” and “How do supply chain professionals make informed supply chain decisions?” The constructivist grounded theory methodology was used to guide the data gathering and analysis. The data were mainly drawn from semi-structured interviews with supply chain practitioners in New Zealand-based pharmaceutical firms, working at different levels of the supply chain, including manufacturers and distributors. Based on the findings a theoretical model was developed, the Pharmaceutical Supply Chain Information-based Decision-Making Model. The model explains the behavioral supply chain decision-making process in the pharmaceutical supply chain, based on the existence of a given level of SCIV. The empirical findings suggest that SCIV is achieved both within and outside of the pharmaceutical firms and that human relational factors tend to be more beneficial than technological factors in developing SCIV. The importance of this finding is that it addresses a frequently asked question in recent literature about what constitutes SCIV and how to successfully build information visibility in a supply chain. Moreover, this research contributes to the behavioural supply chain management research literature by introducing a theoretical model of pharmaceutical supply chain information-based decision-making, which is grounded in the field data. The model offers significant theoretical insight into information-based decision-making in the pharmaceutical supply chain context based on empirical data, which has been largely overlooked in the supply chain management discipline. The empirical findings suggest that supply chain practitioners make information-based decisions in which they conduct an informative engaging mechanism with technological tools, with relevant stakeholders, and with themselves. Thus, the decision-making process involves extensive data analysis along with the crucial support of experience-based intuition and relevant stakeholders’ engagement. Another key contribution of this study is the identification of the constructive aspect of political behaviour in the supply chain decision-making process in which relevant stakeholders when invited to engage in the process tend to positively contribute and buy into the decision. Finally, this thesis provides significant practical implications and suggest directions for future research. Supply chain practitioners may benefit from the study by utilizing the study’s results to develop supply chain information visibility in their firms. In addition, the theoretical model of the information-based decision-making process explicates a useful step-by-step approach for supply chain practitioners to follow in making effective supply chain operational decisions. Recommendations for further research are provided, especially the recommendations for further studies that are crucially needed to assist firms to counter the pharmaceutical supply chain disruption risks caused by the Covid-19 pandemic

The Role of IT in Supply Chain Management

The revolution of Information Technology has resulted in many possible alternative solutions for managing the supply chain effectively. The use of Information Technology provides a competitive advantage to an organization over rest of the competitors in market place. IT is beneficial for cooperation and coordination within the supply chain and plays a vital role in decision making process. This paper highlights the overview of IT for effective supply chain management as well as IT tools used in IT enabled supply chain management

Applying performance measures to support informed decision making at an operational level

Performance Measurement Systems (PMS) have commonly been applied to evaluate and reward performances at managerial levels, especially in the context of supply chain management. However, evidence suggests that the effective use of PMS can also positively influence the behaviour and improve performance at an operational level. The purpose of the study described in this paper is to develop a conceptual framework that adopts performance measures for ex-ante decision-making at an operational level within the supply chain. A case study at Coca-Cola Enterprises has been carried out and as a result, a conceptual framework of the PMS has been developed

Forming of supply chain models in strategic management

Представлено методологію системної динаміки як інструмент моделювання й аналізу, щоб вирішити стратегічні проблеми планування потужностей у харчовій галузі.Current trends in the practice of supply chain management are formed under the impact of many factors that motivate professionals to pay more attention to the development of appropriate tools of decision-making support in supply chain management, i.e. the coordination and regulation of its elements. Effect of different factors on the promotion effectiveness in the chain results in certain problems of contractors interactions. There is a change of building relationships between contractors resulting in displaced traditional management techniques. In modeling the supply chain functioning at any level of management processes as dynamic systems with feedback, the system dynamics is a useful tool which is based on the assumption that behavior is mainly determined by its info-logical structure. The design of system-dynamic model takes place in two phases: 1) a formalization of the research object and the construction of a causal diagram; 2) a transformation of formalized model in the mathematical analogue system of equations. A methodological approach based on system dynamics modeling and analysis of multi-echelon supply chains is presented in the paper. This methodology makes it possible to develop models of the supply chain by combining single-echelon models in accordance with a modular approach. The model can be used to identify effective strategies and optimal parameters for various problems of strategic decision-making. The methodology was tested for the transportation capacity planning of food supply chain. In addition, the model can be used to analyze different scenarios of supply chains functioning using the overall profitability of the supply chain as a performance criterion. The model may also be useful for top-managers who are responsible for decision-making in the context of strategic supply chain management issues

Teaching Supply Chain Operations Planning Using Actual Industry Data Across Multiple Organizations

The purpose of this case study is to provide a pedagogical teaching tool from a business-oriented viewpoint for an undergraduate supply chain management class. Students are provided with challenging questions and problems to solve which enriches their analytical skills in assessing product assortments, developing effective forecasting techniques and collaborative decision making skills with operation managers and supply chain partners. This case examines supply chain management as a collaborative function intertwined with other organizational tasks and provides future supply chain managers lessons on interactions and integration of multiple business units using the latest business practice examples in supply chain management. The case was developed through interviews with eight supply chain professionals across six organizations and uses actual POS data from a retailer

Sustainable and Dynamic Supply Chain in world Business: Recent Trends

By moving from the "integrated" to the "dynamic" supply chain model, businesses may see their supply chains as flexible ecosystems of people, processes, capital assets, technology, and data. In the rapidly evolving corporate world, effective supply chain management (SCM) is a critical issue. Dynamic SCM necessitates good decision information synchronization and integrated decision-making among autonomous chain partners. Complex supply chains (SCs), which are part of globalised economic systems, must be managed to minimize sustainability-related risks and to manage environmental and social impacts in accordance with the expectations of many stakeholders. The analysis of recent trends has highlighted the fact that use of quantitative modelling techniques for sustainable supply chain management (SSCM) is increasingly becoming more and more popular. Secondly, simulation techniques are underrepresented in SSCM compared to analytical models and mathematical programming. For organizations that are looking to infuse a fresh breath in there SCM operations inclusion of system dynamics (SD) modelling for simulating and analyzing complex and dynamic systems as well as for assisting long-term, strategic decision-making will pay rich dividends.

A data mining-based framework for supply chain risk management

Increased risk exposure levels, technological developments and the growing information overload in supply chain networks drive organizations to embrace data-driven approaches in Supply Chain Risk Management (SCRM). Data Mining (DM) employs multiple analytical techniques for intelligent and timely decision making; however, its potential is not entirely explored for SCRM. The paper aims to develop a DM-based framework for the identification, assessment and mitigation of different type of risks in supply chains. A holistic approach integrates DM and risk management activities in a unique framework for effective risk management. The framework is validated with a case study based on a series of semi-structured interviews, discussions and a focus group study. The study showcases how DM supports in discovering hidden and useful information from unstructured risk data for making intelligent risk management decisions

Blockchain for a Resilient, Efficient, and Effective Supply Chain, Evidence from Cases

In the modern acquisition, it is unrealistic to consider single entities as producing and delivering a product independently. Acquisitions usually take place through supply networks. Resiliency, efficiency, and effectiveness of supply networks directly contribute to the acquisition system\u27s resiliency, efficiency, and effectiveness. All the involved firms form a part of a supply network essential to producing the product or service. The decision-makers have to look for new methodologies for supply chain management. Blockchain technology introduces new methods of decentralization and delegation of services, which can transform supply chains and result in a more resilient, efficient, and effective supply chain. This research aims to review and analyze the selected current blockchain technology adoptions to enhance the resiliency of supply network management by facilitating collaboration and communication among suppliers and support the decision-making process. In the first part of this study, we discuss the limitations and challenges of the supply chain system that can be addressed by integrating blockchain technology. In the final part, we analyze multiple blockchain-based supply chain use cases to identify how the main features of blockchain are suited best for supply network management

ESSAYS ON DECEPTIVE COUNTERFEITS IN SUPPLY CHAINS: A BEHAVORIAL PERSPECTIVE

This dissertation is comprised of three essays intended to contribute to the operations management discipline, specifically within supply chain management. The first essay provides a research agenda for studying deceptive product counterfeits, which are products that have been manufactured and/or distributed and sold by an entity in violation of another’s intellectual property rights and intentionally misrepresented by the seller as the genuine article. The proliferation of counterfeits into legitimate supply chains presents quality, health and safety and cost concerns for nearly all industries. We identify antecedents of vulnerability to deceptive counterfeits for firms and their supply chain partners using Situational Crime Prevention Theory and Normal Accident Theory. Vulnerability to counterfeiting has negative performance impacts for the firm, its customers and society. We propose using the Six Ts of Supply Chain Quality Management (Roth, Tsay, Pullman and Gray, 2008) as an approach to select effective strategies to mitigate these impacts. Essay Two serves as an initial effort to understand how counterfeits can enter supply chains. In this essay, we test whether purchasing specialists can serve as effective guardians of the supply chain using a scenario based role playing experiment. We explore if buyers can detect signals of counterfeits in proposals and successfully avoid the counterfeit supplier in the decision process. We additionally examine whether time constraints and workload pressure detracts from the ability to successfully process signals and avoid the counterfeit. We find that the buyers can successfully detect counterfeit signals and avoid the counterfeit in the selection decision, but don’t find support for time constraints and workload pressure effects. The final contribution of this dissertation is a methodological essay that explores the effect of time pressure on decision making by using a combination of perceived time pressure and objective measures of time spent in the decision process to determine if time pressure affects the quality of the decision making in a supplier selection decision. We find that time constraints and perceived time pressure are related constructs that negatively affect decision quality in a supplier selection decision

Integration of Blockchain Technology into Supply Network for Resilient and Efficient Acquisition [video]

In the modern acquisition, it is unrealistic to consider single entities as producing and delivering a product independently. Acquisitions usually take place through supply networks. Resiliency, efficiency, and effectiveness of supply networks directly contribute to the acquisition system\u27s resiliency, efficiency, and effectiveness. All the involved firms form a part of a supply network essential to producing the product or service. The decision-makers have to look for new methodologies for supply chain management. Blockchain technology introduces new methods of decentralization and delegation of services, which can transform supply chains and result in a more resilient, efficient, and effective supply chain. This research aims to review and analyze the selected current blockchain technology adoptions to enhance the resiliency of supply network management by facilitating collaboration and communication among suppliers and support the decision-making process. In the first part of this study, we discuss the limitations and challenges of the supply chain system that can be addressed by integrating blockchain technology. In the final part, we analyze multiple blockchain-based supply chain use cases to identify how the main features of blockchain are suited best for supply network management